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Explainable causal variational autoencoders based equivariant graph neural networks for analyzing the consumer purchase behavior in E-commerce
As the usage of e-commerce is growing rapidly, it is significant to analyze the features or
attributes that influence the consumer purchase behavior in E-commerce. This study …
attributes that influence the consumer purchase behavior in E-commerce. This study …
HANM: hierarchical additive noise model for many-to-one causality discovery
Discovering causal relationships among observed variables is a new research focus in the
area of data mining. Methods based on the additive noise model have been proved to be …
area of data mining. Methods based on the additive noise model have been proved to be …
[PDF][PDF] Sequentially learning the topological ordering of directed acyclic graphs with likelihood ratio scores
G Ruiz, OHM Padilla, Q Zhou - 2022 - openreview.net
Causal discovery, the learning of causality in a data mining scenario, has been of strong
scientific and theoretical interest as a starting point to identify" what causes …
scientific and theoretical interest as a starting point to identify" what causes …
Sequentially learning the topological ordering of causal directed acyclic graphs with likelihood ratio scores
G Ruiz, OHM Padilla, Q Zhou - arxiv preprint arxiv:2202.01748, 2022 - arxiv.org
Causal discovery, the learning of causality in a data mining scenario, has been of strong
scientific and theoretical interest as a starting point to identify" what causes what?" …
scientific and theoretical interest as a starting point to identify" what causes what?" …
[PDF][PDF] G-RIPS Sendai 2024
J Forde, G Mendez, A Okubo, D Quigley, R Sakamoto… - 2024 - mccs.tohoku.ac.jp
'A is the cause of B', an otherwise innocuous statement, has important philosophical,
technical, and non-technical consequences. Artificial Intelligence (AI) is ubiquitous and …
technical, and non-technical consequences. Artificial Intelligence (AI) is ubiquitous and …
[LIBRO][B] Plug-in Estimation Approaches to Causal Inference and Discovery
G Ruiz - 2022 - search.proquest.com
This dissertation covers techniques for the estimation of parameters related to making
causal inferences and discoveries. Both for its generality and its simplicity, the focus is in the …
causal inferences and discoveries. Both for its generality and its simplicity, the focus is in the …
[PDF][PDF] Sequential Learning of the Topological Ordering for the Linear Non-Gaussian Acyclic Model with Parametric Noise
G Ruiz, O Madrid-Padilla, Q Zhou - CoRR, 2022 - academia.edu
Causal discovery, the learning of causality in a data mining scenario, has been of strong
scientific and theoretical interest as a starting point to identify “what causes what?” …
scientific and theoretical interest as a starting point to identify “what causes what?” …